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Machine Learning Algorithms play a significant role in dental research, as they serve to recognize risk factors associated with oral pathologies (such as smoking, diet or poor oral hygiene). Therefore, practitioners take these aspects into account when implementing preventive measures aimed at high-risk groups. In this sense, these tools predict the long-term prognosis of certain dental conditions, in addition to evaluating the effectiveness of the treatments applied. This is valuable for the therapeutic approach of patients with chronic conditions or those requiring procedures over a long period of time.

In this context, TECH implements a pioneering program that will deal with Advanced Analysis and Data Processing in Dentistry. With the help of specialists in the field, the syllabus will delve into the Data Mining tool applied to local records, so that students can identify patterns that indicate the presence of oral conditions. Likewise, the syllabus will address the most advanced techniques for Predictive Analytics and the different AI models for dental epidemiology. In line with this, the didactic materials will offer multiple Machine Learning algorithms that will contribute to the development of dental research. The university program will also promote the monitoring of trends and patterns in Oral Health, taking advantage of the rise of social media.

The methodology of this program reinforces its innovative character. To this end, it employs the Relearningmethodology, based on the repetition of key concepts to fix knowledge and facilitate learning. In this way, the combination of flexibility and a robust pedagogical approach makes it highly accessible. In addition, physicians will have access to a didactic library with a variety of multimedia resources in different formats such as interactive summaries, explanatory videos and infographics. Specialists will also learn in simulated learning environments to extract valuable lessons to apply in their work practice.

Perform the most reliable predictive analytics to prevent oral conditions such as caries"

This Postgraduate certificate in Advanced Analysis and Data Processing in Dentistry contains the most complete and up-to-date program on the market. The most important features include:

• The development of case studies presented by experts in Artificial Intelligence in Dentistry
• The graphic, schematic, and practical contents with which they are created, provide scientific and practical information on the disciplines that are essential for professional practice
• Practical exercises where the self-assessment process can be carried out to improve learning
• Its special emphasis on innovative methodologies
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• Content that is accessible from any fixed or portable device with an Internet connection

You will nurture your clinical practice with Machine Learning models to focus on dental epidemiology"

The program’s teaching staff includes professionals from the sector who contribute their work experience to this training program, as well as renowned specialists from leading societies and prestigious universities.

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive education programmed to learn in real situations.

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the academic year For this purpose, the students will be assisted by an innovative interactive video system created by renowned and experienced experts.

You will use the resources of Artificial Intelligence to accurately analyze costs in Dentistry"

With the Relearning system used by TECH you will reduce the long hours of study and memorization. Learn in a natural way!"

This academic track will focus on the application of advanced technologies in data management in dentistry. Through the syllabus, students will delve into the impact of Big Data in dentistry, examining cutting-edge tools such as Data Mining to extract valuable data. The syllabus will also delve into advanced predictive analytics techniques in Oral Health, which will enable students to efficiently manage clinical information. Moreover, the module will explore how to leverage social media and AI to monitor both the latest trends and patterns in Oral Health.

You will achieve a more efficient management thanks to modern tools dedicated to monitoring trends and patterns in Oral Health"

Module 1. Advanced Analytics and Data Processing in Dentistry

1.1. Big Data in Dentistry: Concepts and Applications

1.1.1. The Explosion of Data in Dentistry
1.1.2. Concept of Big Data
1.1.3. Applications of Big Data in Dentistry

1.2. Data Mining in Dental Records

1.2.1. Main Methodologies for Data Mining
1.2.2. Integration of Data from Dental Records
1.2.3. Detection of Patterns and Anomalies in Dental Records

1.3. Advanced Predictive Analytics Techniques in Oral Health

1.3.1. Classification Techniques for Oral Health Analysis
1.3.2. Regression Techniques for Oral Health Analytics
1.3.3. Deep Learning for Oral Health Analysis

1.4. AI Models for Dental Epidemiology

1.4.1. Classification Techniques for Dental Epidemiology
1.4.2. Regression Techniques for Dental Epidemiology
1.4.3. Unsupervised Techniques for Dental Epidemiology

1.5. AI for Clinical and Radiographic Data Management

1.5.1. Integration of Clinical Data for Effective Management with AI Tools
1.5.2. Transformation of Radiographic Diagnosis using Advanced AI Systems
1.5.3. Integrated Management of Clinical and Radiographic Data

1.6. Machine Learning Algorithms in Dental Research

1.6.1. Classification Techniques in Dental Research
1.6.2. Regression Techniques in Dental Research
1.6.3. Unsupervised Techniques in Dental Research

1.7. Social Network Analysis in Oral Health Communities

1.7.1. Introduction to Social Network Analysis
1.7.2. Analysis of Opinions and Sentiment in Social Networks in Oral Health Communities
1.7.3. Analysis of Social Network Trends in Oral Health Communities

1.8. AI in Monitoring Oral Health Trends and Patterns

1.8.1. Early Detection of Epidemiologic Trends with AI
1.8.2. Continuous Monitoring of Oral Hygiene Patterns with AI Systems
1.8.3. Prediction of Changes in Oral Health with AI Models

1.9. AI Tools for Cost Analysis in Dentistry

1.9.1. Optimization of Resources and Costs with AI Tools
1.9.2. Efficiency and Cost-Effectiveness Analysis in Dental Practices with AI
1.9.3. Cost Reduction Strategies Based on AI-analyzed Data

1.10. Innovations in AI for Dental Clinical Research

1.10.1. Implementation of Emerging Technologies in Dental Clinical Research
1.10.2. Improving the Validation of Dental Clinical Research Results with AI
1.10.3. Multidisciplinary Collaboration in AI-powered Detailed Clinical Research

Study through innovative multimedia didactic formats that will optimize your updating process"